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Mastering Apache Spark 2.x

You're reading from Mastering Apache Spark 2.x Advanced techniques in complex Big Data processing, streaming analytics and machine learning

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781786462749

Length 354 pages

Edition 2nd Edition

Languages

Scala

Tools

Apache Spark

Concepts

Big Data

Author (1):

Romeo Kienzler

View More author details

Table of Contents (15) Chapters

Preface

1. A First Taste and What’s New in Apache Spark V2 FREE CHAPTER

2. Apache Spark SQL

3. The Catalyst Optimizer

4. Project Tungsten

5. Apache Spark Streaming

6. Structured Streaming

7. Apache Spark MLlib

8. Apache SparkML

9. Apache SystemML

10. Deep Learning on Apache Spark with DeepLearning4j and H2O

11. Apache Spark GraphX

12. Apache Spark GraphFrames

13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience

14. Apache Spark on Kubernetes

Cloud

Although parts of this book will concentrate on examples of Apache Spark installed on physically server-based clusters, we want to make a point that there are multiple cloud-based options out there that imply many benefits. There are cloud-based systems that use Apache Spark as an integrated component and cloud-based systems that offer Spark as a service. Even though this book cannot cover all of them in depth, it would be useful to mention some of them:

Chapter 13, Apache Spark with Jupyter Notebooks on IBM DataScience Experience, is an example of a completely open source based offering from IBM
Chapter 14, Apache Spark on Kubernetes, covers the Kubernetes Cloud Orchestrator, which is available as offering of on many cloud services (including IBM) and also rapidly becoming state-of-the-art in enterprise data centers

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Mastering Apache Spark 2.x - Second Edition

Published in: Jul 2017

Publisher: Packt

ISBN-13: 9781786462749

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Authors (1)

Romeo Kienzler

Romeo Kienzler

Romeo Kienzler works as the chief data scientist in the IBM Watson IoT worldwide team, helping clients to apply advanced machine learning at scale on their IoT sensor data. He holds a Master's degree in computer science from the Swiss Federal Institute of Technology, Zurich, with a specialization in information systems, bioinformatics, and applied statistics.

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